Retrieve Tom's Hardware top-level editorial sections to structure site navigation or filter headlines by category, providing the taxonomy needed for targeted content queries.
Get Tom's Hardware sections. Returns the public Tom's Hardware top-level editorial taxonomy used by the headlines endpoint.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
v1.17.5Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It discloses that the data is 'public' and 'top-level editorial taxonomy,' which is useful. However, it doesn't mention return format, pagination, or any other behavioral traits beyond the basic scope. For a zero-parameter taxonomy tool this is adequate but not rich.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences with no filler. The primary action and resource are front-loaded, and the clarifying context about the headlines endpoint is placed in the second sentence. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple zero-parameter taxonomy tool, the description is nearly complete: it states what is returned, its scope ('top-level editorial taxonomy'), and its relationship to the headlines endpoint. The only gap is the lack of any indication of the return shape, but given the simplicity of the tool this is a minor omission.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters and the schema is empty, so there is nothing for the description to explain. The baseline for a no-parameter tool is 4, and the description appropriately avoids inventing parameter details.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb ('Get') and resource ('Tom's Hardware sections'), and adds that it returns the 'top-level editorial taxonomy used by the headlines endpoint.' This clearly distinguishes it from sibling tools like tomshardware_headlines and tomshardware_news by positioning it as the supporting taxonomy for headlines.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when to use this tool: when you need the section taxonomy that feeds the headlines endpoint. It doesn't explicitly name alternatives or exclusions, but the 'used by the headlines endpoint' phrasing gives clear contextual guidance for an agent deciding between this and headline-fetching tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.